Data Architect (Greenfield project)

For our Client – an international ERP implementation company we are looking candidates who would like to develop in the IT sector.

Our Client is a leading ERP system company for manufacturing and service companies across the globe. The system is developed in close cooperation with customers, that is why we are looking for an experienced candidate with a very good/fluent command of English. If you are willing to develop your career in the IT sector in a multicultural environment – you are in a good place!

• Supporting many different companies around the world 24/7
• Delivering unique software solutions for multiple industries
• Collaborating with Clients across different time zones

Requirements:

• Completed studies in the field of Computer Science, Engineering, Business Administration or courses in related technology field
• Strong communication skills in English minimum B2 level, both spoken and written for daily communication
• Proven work experience as a Data Architect, Data Scientist, Data Analyst or similar role
• Knowledge of conceptual data design patterns, UML, data modeling, service-oriented integration, business intelligence domains, data Warehouse design concepts etc.
• Knowledge of data architecture frameworks (e.g. TOGAF)
• Data modeling (ERD) experience working on designing, updating and maintaining conceptual and logical data models
• Basic programming skills – knowledge of any programming language (e.g. Phyton, Java, C#, R+)
• Ability to interact with business users, key stakeholders, development and support teams and technical architecture community in a global environment across multiple countries and cultures

Responsibilities:

• As a Data Architect, you will play a key role in a major transformation initiative within Data management in the company.
• You will lead the data architecture, modeling and design for a greenfield project in Data operations
• Translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
• With the Development and Data Engineering Team, defining the data architecture framework, standards, and principles, including modeling, security, and reference data
• Creating documentation and reports